<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: sas EM RFM Analysis in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/sas-EM-RFM-Analysis/m-p/100419#M835</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Welcome!&amp;nbsp; RFM is at the core of many data mining analyses.&amp;nbsp; SAS has many, many options to help you analyze your data.&amp;nbsp; My recommendation is to create some derived variables grouped at the user level, assuming you are trying to determine what types of customers behave differently.&amp;nbsp;&amp;nbsp; Examples include: # visits, # clicks, duration, last_visit.&amp;nbsp; You could then add other metrics that indicate whether they purchased.&amp;nbsp; You could also create variables to indicate where they clicked, so now you a set of measures for each category.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Depending on what your outcome (dependent variable) is, my advice is to see what your data is trying to tell you.&amp;nbsp; Run a Decision Tree, Regression Model, and maybe a Neural Network in Enterprise Miner.&amp;nbsp; Depending on your data, you may want to inpute missing values and even create bins of your interval variables.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If you have Enterprise Guide or Excel, you can use the Rapid Predictive Modeler add-in and point to your data, and let SAS run several methods to determine the best model.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If you want to get fancy, you could start doing Path analysis to determine who people are browsing to the most profitable sites and even use Association/Market Basket to determine rules to assign people to buckets.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;SAS also has a wealth of training opportunities, feel free to browse &lt;A href="http://support.sas.com/training/index.html" title="http://support.sas.com/training/index.html"&gt;SAS Training Courses and e-Learning from the experts at SAS&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;There's so much you can do!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Jonathan&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 03 Oct 2013 14:26:26 GMT</pubDate>
    <dc:creator>jwexler</dc:creator>
    <dc:date>2013-10-03T14:26:26Z</dc:date>
    <item>
      <title>sas EM RFM Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/sas-EM-RFM-Analysis/m-p/100416#M832</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am new to this community and a new job. I have to do the RFM Analysis for an mobile gaming company, so can anyone help me telling me what will be the code/procedure for RFM to start with?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Suppose the data is &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;user&amp;nbsp;&amp;nbsp;&amp;nbsp; session logged in&amp;nbsp;&amp;nbsp;&amp;nbsp; session stopped&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; total time used&amp;nbsp;&amp;nbsp;&amp;nbsp; date of logging in .......&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks alot.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 02 Oct 2013 00:37:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/sas-EM-RFM-Analysis/m-p/100416#M832</guid>
      <dc:creator>ali_annie</dc:creator>
      <dc:date>2013-10-02T00:37:13Z</dc:date>
    </item>
    <item>
      <title>Re: sas EM RFM Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/sas-EM-RFM-Analysis/m-p/100417#M833</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Welcome to the community, ali.annie! And congrats on your new job. I'll try to track down an answer for you. Meantime, others in the community may have some input.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Anna&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 02 Oct 2013 15:42:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/sas-EM-RFM-Analysis/m-p/100417#M833</guid>
      <dc:creator>AnnaBrown</dc:creator>
      <dc:date>2013-10-02T15:42:28Z</dc:date>
    </item>
    <item>
      <title>Re: sas EM RFM Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/sas-EM-RFM-Analysis/m-p/100418#M834</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks Anna!! I really look forward to it and be highly grateful as well &lt;img id="smileyhappy" class="emoticon emoticon-smileyhappy" src="https://communities.sas.com/i/smilies/16x16_smiley-happy.png" alt="Smiley Happy" title="Smiley Happy" /&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 02 Oct 2013 15:50:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/sas-EM-RFM-Analysis/m-p/100418#M834</guid>
      <dc:creator>ali_annie</dc:creator>
      <dc:date>2013-10-02T15:50:08Z</dc:date>
    </item>
    <item>
      <title>Re: sas EM RFM Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/sas-EM-RFM-Analysis/m-p/100419#M835</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Welcome!&amp;nbsp; RFM is at the core of many data mining analyses.&amp;nbsp; SAS has many, many options to help you analyze your data.&amp;nbsp; My recommendation is to create some derived variables grouped at the user level, assuming you are trying to determine what types of customers behave differently.&amp;nbsp;&amp;nbsp; Examples include: # visits, # clicks, duration, last_visit.&amp;nbsp; You could then add other metrics that indicate whether they purchased.&amp;nbsp; You could also create variables to indicate where they clicked, so now you a set of measures for each category.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Depending on what your outcome (dependent variable) is, my advice is to see what your data is trying to tell you.&amp;nbsp; Run a Decision Tree, Regression Model, and maybe a Neural Network in Enterprise Miner.&amp;nbsp; Depending on your data, you may want to inpute missing values and even create bins of your interval variables.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If you have Enterprise Guide or Excel, you can use the Rapid Predictive Modeler add-in and point to your data, and let SAS run several methods to determine the best model.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If you want to get fancy, you could start doing Path analysis to determine who people are browsing to the most profitable sites and even use Association/Market Basket to determine rules to assign people to buckets.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;SAS also has a wealth of training opportunities, feel free to browse &lt;A href="http://support.sas.com/training/index.html" title="http://support.sas.com/training/index.html"&gt;SAS Training Courses and e-Learning from the experts at SAS&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;There's so much you can do!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Jonathan&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 03 Oct 2013 14:26:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/sas-EM-RFM-Analysis/m-p/100419#M835</guid>
      <dc:creator>jwexler</dc:creator>
      <dc:date>2013-10-03T14:26:26Z</dc:date>
    </item>
    <item>
      <title>Re: sas EM RFM Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/sas-EM-RFM-Analysis/m-p/100420#M836</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks Jonathan!! Really appreciated!! When I asked the question, I had no idea, this community is not only active but also so helpful. Thanks to all of the people. I hope I will be able to help someone someday as well &lt;img id="smileyhappy" class="emoticon emoticon-smileyhappy" src="https://communities.sas.com/i/smilies/16x16_smiley-happy.png" alt="Smiley Happy" title="Smiley Happy" /&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 03 Oct 2013 20:07:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/sas-EM-RFM-Analysis/m-p/100420#M836</guid>
      <dc:creator>ali_annie</dc:creator>
      <dc:date>2013-10-03T20:07:20Z</dc:date>
    </item>
  </channel>
</rss>

